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“What say ye gout experts?” a content analysis of questions about gout posted on the social news website Reddit

Overview of attention for article published in BMC Musculoskeletal Disorders, November 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
7 X users
facebook
1 Facebook page
reddit
2 Redditors

Citations

dimensions_citation
57 Dimensions

Readers on

mendeley
67 Mendeley
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Title
“What say ye gout experts?” a content analysis of questions about gout posted on the social news website Reddit
Published in
BMC Musculoskeletal Disorders, November 2017
DOI 10.1186/s12891-017-1856-y
Pubmed ID
Authors

Christina Derksen, Anna Serlachius, Keith J. Petrie, Nicola Dalbeth

Abstract

Social media is increasingly used by patients to source information for managing chronic disease. The aim of this study was to understand patient information needs about gout by a content analysis of questions posted on the social news website Reddit. We analysed questions posted onto the 'Gout sufferers unite' subreddit site. Two reviewers coded questions into categories (inter-reviewer kappa 0.70), with discordant coding resolved by a third reviewer. Data were analysed by calculating the frequency of questions within the categories. Where relevant, categories were further separated into sub-categories to allow organisation and interpretation of the data. We analysed 359 questions in 287 posts by 213 individuals. A wide range of questions arose. The single most common category related to uncertainty of diagnosis (22.3% questions), with questions about disease management common. Information-seeking about medications was generally cautious, with questions about side-effects, risk of flares after starting urate-lowering therapy, and decision to start urate-lowering therapy. Community users experiencing flares posted questions about flare management, including medications, sometimes in real-time. Dietary management questions included the effectiveness of dietary changes as a management strategy, choice of alcoholic beverage, and weight loss strategies. Questions about serum urate levels were rare (2.8% questions). Questions about gout posted on the subreddit site most often related to uncertainty about symptoms and disease management strategies, with infrequent questions about serum urate testing, results or targets. These findings may inform development of strategies to address the information needs of people with gout.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 67 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 16%
Student > Master 11 16%
Researcher 8 12%
Student > Bachelor 7 10%
Student > Doctoral Student 3 4%
Other 10 15%
Unknown 17 25%
Readers by discipline Count As %
Medicine and Dentistry 12 18%
Social Sciences 10 15%
Nursing and Health Professions 5 7%
Computer Science 4 6%
Psychology 4 6%
Other 11 16%
Unknown 21 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 05 November 2020.
All research outputs
#5,712,362
of 23,008,860 outputs
Outputs from BMC Musculoskeletal Disorders
#1,047
of 4,091 outputs
Outputs of similar age
#110,298
of 438,098 outputs
Outputs of similar age from BMC Musculoskeletal Disorders
#26
of 87 outputs
Altmetric has tracked 23,008,860 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,091 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one has gotten more attention than average, scoring higher than 74% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 438,098 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.